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Senior metro role; common data title but specialized AWS Glue reduces candidate pool.
Core data engineering skills are transferable, but compensation domain and AWS Glue specialization increase domain specificity.
Explicit 8+ years and 5+ years data engineering plus mandatory AWS Glue, Python, and cloud skills.
Design and implement end-to-end data pipelines and business APIs focusing on compensation calculations and processing using Python, C#, and AWS services.
Develop and maintain ETL/ELT workflows and event-driven architectures with AWS Glue, Lambda, EventBridge, and relational databases to ensure high data integrity and automation.
Collaborate with architects, product teams, and SMEs to deliver scalable, resilient cloud-native systems modernizing the compensation platform.
8+ years of experience designing and implementing complex systems.
5+ years of hands-on data engineering experience, especially in transformation-heavy or rules-driven domains.
Strong skills in Python for ETL/ELT and AWS cloud services including Glue, Lambda, EventBridge, RDS, and S3.
Bachelor’s degree in Computer Science or related field.
Strong experience with cloud-based data engineering and event-driven system design using AWS and Python, operating in complex financial or rules-driven environments.
Proven ability to drive scalable, automated compensation or financial processing platforms with an emphasis on data quality and system resiliency.
Comfortable collaborating across product, architecture, QA, and DevOps teams within Agile frameworks to deliver future-ready cloud solutions.